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Email Analytics

Email Analytics · Multi-Dimensional Quantification of Email Collaboration

"How many emails did Wang send this month?" "What's the average response time for service agents?" "Which has higher email density — marketing or sales?" Email analytics aggregates all send/receive data across department / employee / account, with visualized charts + leaderboards making email KPIs clear at a glance.

10+
Stat Dimensions
6
Visualization Charts
0
Manual Form-Filling
Capabilities

Automatic Insight from Multi-Dimensional Email Data

From send/receive volume to response time, from department rankings to trend analysis — all KPIs computed automatically

📈 Volume Statistics

Daily / weekly / monthly trend curves of received, sent and unread volume — grasp your work tempo at a glance

Response Time

Average response time from receipt to reply, tracked separately by employee / customer group, with a slow-responder ranking as a clear warning

🏆 Department Rankings

A side-by-side leaderboard of departments' send/receive volume, making email density / response speed rankings obvious

👥 Employee Activity

View each employee's daily emails sent/received, average response time and attachment downloads — evidence for quantified KPI reviews

📊 Email Sources

Stats on top senders, top domains and customer distribution to understand which channels your inbound email comes from

📥 Report Export

One-click export of all stats as Excel / PDF reports — ready to drop into monthly reviews / quarterly retrospectives

mail.shangbangke.com/statsThis Week
S
Mail Volume Trend
WeekExport
2,418This Week
+12.4%vs Last Week
2.1hAvg Response

Volume by weekday

520Mon
366Tue
414Wed
342Thu
568Fri
108Sat

See the Team's Email Rhythm from the Data

The email-collaboration section of a monthly report used to be filled in by hand; now just read the trend charts: peaks on Mondays and Fridays, fastest responses on Tuesdays and Thursdays, year-end volume at 2x the norm. Every rhythm is visualized, so management has evidence for resource planning.

  • Multi-granularity trends: daily / weekly / monthly / quarterly
  • Compare to the previous period / year-over-year
  • Automatic alerts on abnormal swings
  • Drill down by tenant / department / mailbox
mail.shangbangke.com/stats/kpiMonthly
K
Support Agent KPI Ranking
MonthTo Payroll
AgentHandled1st RespBacklog
Li4860.8h2
Wang4421.2h4
Zhang3982.6h11
Zhao3124.1h23

Backlog over threshold triggers an alert

Quantified Employee KPIs — Evidence-Based Service Management

An agent's "average first-response time / emails handled per day / pending-reply backlog" are hard performance metrics. Email analytics files each agent's data daily and auto-generates a leaderboard at month-end — who's slow and who's fast is obvious, and performance reviews are no longer based on impressions.

  • Two core metrics: first-response time + average handling time
  • Leaderboards by day / week / month
  • Backlog alerts for timely intervention so nothing slips
  • Service-quality data feeds into the performance system for scoring
Use Cases

Which Teams Use Email Analytics for Management

Service Centers

First-response time + 24-hour reply rate as KPIs, ranked openly by agent and transparently — performance with evidence

Foreign Trade

Track how many emails reps send customers daily and how many inquiries they reply to — quantified activity tracking

Project Management

Inbound email trends reflect a project's heat; a sudden surge may signal scope changes or urgent issues

Compliance Audits

Generate compliance monthly reports on email volume / department distribution to meet regulators' email-retention reporting requirements

Related Features

Email Analytics Works with These Features

Stats come from accounts / send-receive / marketing / archiving — the whole chain is traceable

Try Multi-Dimensional Email Analytics Today

Sign up to try the full email analytics capability for free, or book a consultant demo